A 32-channel bidirectional neural/EMG interface with on-chip spike detection for sensorimotor feedback
File(s)2016_BioCAS_SenseBack.pdf (1.87 MB)
Accepted version
Author(s)
Williams, I
Rapeaux, A
Liu, Y
Luan, S
Constandinou, TG
Type
Conference Paper
Abstract
This paper presents a novel 32-channel bidirectional neural interface, capable of high voltage stimulation and low power, low-noise neural recording. Current-controlled biphasic pulses are output with a voltage compliance of 9.25V, user configurable amplitude (max. 315 uA) & phase duration (max. 2 ms). The low-voltage recording amplifiers consume 23 uW per channel with programmable gain between 225 - 4725. Signals are
10-bit sampled at 16 kHz. Data rates are reduced by granular control of active recording channels, spike detection and event-driven communication, and repeatable multi-pulse stimulation configurations.
10-bit sampled at 16 kHz. Data rates are reduced by granular control of active recording channels, spike detection and event-driven communication, and repeatable multi-pulse stimulation configurations.
Date Issued
2017-01-26
Date Acceptance
2016-08-10
Citation
2016 IEEE Biomedical Circuits and Systems Conference (BioCAS), 2017, pp.528-531
Publisher
IEEE
Start Page
528
End Page
531
Journal / Book Title
2016 IEEE Biomedical Circuits and Systems Conference (BioCAS)
Copyright Statement
© 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Sponsor
Engineering & Physical Science Research Council (EPSRC)
Engineering & Physical Science Research Council (E
Engineering & Physical Science Research Council (EPSRC)
Engineering & Physical Science Research Council (EPSRC)
Grant Number
EP/M020975/1
BH141353 (EP/M025977/1)
EP/K015060/1
EP/I000569/1
Source
IEEE Biomedical Circuits and Systems (BioCAS) Conference
Subjects
Science & Technology
Technology
Computer Science, Information Systems
Engineering, Biomedical
Engineering, Electrical & Electronic
Computer Science
Engineering
Publication Status
Published
Start Date
2016-10-17
Finish Date
2016-10-19
Coverage Spatial
Shanghai, China